Thursday night, a flash sale on Friday
At six in the evening a client emails to say they are running a sitewide discount from midnight, and they have an influencer post going out at the same time. Your planner already booked tomorrow's agency staff based on last Friday. There is no way to get another ten people for the morning shift at this notice, so the team works overtime, the backlog runs into Monday, and three other clients' orders are delayed alongside it.
The week before, the opposite happened: a client forecast a big launch, you booked extra people, and the orders never came. The agency still billed the minimum hours.
Why the plan is always a guess
Warehouse labour is planned from volume, and volume in a multi-client 3PL is the sum of many businesses each making their own marketing decisions. The WMS knows what happened, not what is coming. Clients know what is coming but rarely think to tell the warehouse, and when they do, they give a feeling rather than a number.
| Input | Why it is unreliable today |
|---|---|
| Last week's volume | Ignores seasonality and planned promotions |
| Client forecasts by email | Late, vague, often optimistic |
| Planner's experience | Good, but held in one head and hard to scale |
| Agency availability | Needs notice that the forecast never gives |
The conversion from orders to hours is also rarely written down. Different clients take different time per order, depending on items, packaging and inserts.
What bad plans cost
Too few people: missed collections, overtime, backlog that affects every client, and service level misses during the weeks clients care about most. Too many people: agency hours paid for standing around, and good temporary staff who do not come back because the shifts are unpredictable.
Both lead to the same frustrating conversation with the client who caused the spike, who wants to know why their orders were late when they did tell you, eventually.
The planner's own week suffers too. Planning labour becomes a daily scramble of phone calls to agencies instead of a routine that runs a week ahead.
The forecast we build
- Order history per client from your WMS, by day and hour, over at least one full year where available.
- A baseline forecast per client that accounts for weekday patterns, seasonality and trends.
- A promotion calendar clients fill in through a simple form: sale dates, launches, marketing sends, with expected size as a rough choice rather than a precise number.
- Adjustment of the baseline using how that client's past promotions actually turned out.
- Conversion to labour hours per activity: picking, packing, goods in, returns, using your own productivity rates per client.
- A planner's view by shift for the coming days and weeks, with the gap between booked and needed staff, and a nudge to clients whose promotion calendar is empty in a busy season.
The forecast is an estimate and is shown as a range. Its value is in giving the planner a number several days ahead, when agencies can still supply people.
What the planner gets
A weekly plan built from data and client input, not memory. Agency bookings made with enough notice to get people you want. And a record of forecast against actual, which improves the forecast and gives you something factual to share with clients who keep surprising you.
Does this sound like your peak?
- Clients tell you about promotions at the last minute.
- Agency staff are booked from last week's volume.
- You overstaff some days and scramble on others.
- Peak backlog from one client delays everyone else.
- Only one person knows how to turn volumes into a labour plan.